# This file created by conda-build 3.21.4
# meta.yaml template originally from:
# C:\ci\containers\0000343562u\tmp\build\80754af9\rsync-recipes\bottlechest-0.7.1-python_3.6-on-winbuilder, last modified Tue Jan 26 02:49:19 2021
# ------------------------------------------------

package:
  name: bottlechest
  version: 0.7.1
source:
  sha256: 7e9a4fd8ad0f28e599463e76805054cc41c79c19faae92c528227b88e97a012c
  url: https://pypi.io/packages/source/B/Bottlechest/Bottlechest-0.7.1.tar.gz
build:
  number: '1'
  script:
    - C:\\ci\\bottlechest_1614265752754\\_h_env\\python.exe -c "from bottlechest.src.makepyx
      import makepyx; makepyx()"
    - for %%f in (bottlechest\src\func\64bit\*.pyx) do cython %%f
    - for %%f in (bottlechest\src\func\32bit\*.pyx) do cython %%f
    - 'C:\ci\bottlechest_1614265752754\_h_env\python.exe -m pip install . --no-deps
      --ignore-installed -vvv '
  string: py36h080aedc_1
requirements:
  build:
    - vs2017_win-64 19.16.27032.1 hb4161e2_3
    - vswhere 2.7.1 h21ff451_0
  host:
    - blas 1.0 mkl
    - certifi 2020.12.5 py36haa95532_0
    - cython 0.29.22 py36hd77b12b_0
    - icc_rt 2019.0.0 h0cc432a_1
    - intel-openmp 2019.4 245
    - mkl 2019.4 245
    - mkl-service 2.3.0 py36h196d8e1_0
    - mkl_fft 1.0.14 py36h6288b17_0
    - mkl_random 1.0.4 py36h343c172_0
    - numpy 1.16.6 py36h5510c5b_0
    - numpy-base 1.16.6 py36hc3f5095_0
    - pip 21.0.1 py36haa95532_0
    - python 3.6.12 h5500b2f_2
    - scipy 1.5.2 py36h9439919_0
    - setuptools 52.0.0 py36haa95532_0
    - six 1.15.0 py36haa95532_0
    - sqlite 3.33.0 h2a8f88b_0
    - vc 14.2 h21ff451_1
    - vs2015_runtime 14.27.29016 h5e58377_2
    - wheel 0.36.2 pyhd3eb1b0_0
    - wincertstore 0.2 py36h7fe50ca_0
    - zlib 1.2.11 h62dcd97_4
  run:
    - numpy >=1.16.6,<2.0a0
    - python >=3.6,<3.7.0a0
    - scipy
    - vc >=14.1,<15.0a0
    - vs2015_runtime >=14.16.27012,<15.0a0
test:
  imports:
    - bottlechest
about:
  description: 'Bottlechest is a fork of Bottleneck, a collection of fast NumPy array

    functions written in Cython. It is specialized for use in Orange.

    '
  dev_url: https://github.com/biolab/bottlechest
  doc_url: https://pypi.python.org/pypi/Bottlechest
  home: https://github.com/biolab/bottlechest
  license: BSD
  license_family: BSD
  license_file: bottlechest/LICENSE
  summary: fast NumPy array functions specialized for use in Orange
extra:
  copy_test_source_files: true
  final: true
  recipe-maintainers:
    - jjhelmus
